AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Default_LightGBM LightGBM rmse 134.753 17.06 0.0162
2_Default_Xgboost Xgboost rmse 134.579 6.21 0.0169
3_Default_CatBoost CatBoost rmse 133.496 17.41 0.0099
4_Default_NeuralNetwork Neural Network rmse 141.773 8.17 0.0389
5_Default_RandomForest Random Forest rmse 159.961 11.92 0.0838
10_LightGBM LightGBM rmse 133.831 12.98 0.0152
6_Xgboost Xgboost rmse 135.739 5.06 0.0169
14_CatBoost CatBoost rmse 133.621 28.04 0.0114
18_RandomForest Random Forest rmse 160.813 24.14 0.0914
22_NeuralNetwork Neural Network rmse 141.839 7.95 0.0314
11_LightGBM LightGBM rmse 136.251 7.19 0.0151
7_Xgboost Xgboost rmse 135.885 5.12 0.0173
15_CatBoost CatBoost rmse 134.822 14.75 0.0103
19_RandomForest Random Forest rmse 168.098 15.64 0.0808
23_NeuralNetwork Neural Network rmse 141.462 9.14 0.0329
12_LightGBM LightGBM rmse 134.518 13.22 0.015
8_Xgboost Xgboost rmse 135.005 5.23 0.017
16_CatBoost CatBoost rmse 133.739 16.29 0.0109
the best Ensemble Ensemble rmse 132.796 0.38 0.0986

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance (Original Scale)

features importance across models

Scaled Features Importance (MinMax per Model)

scaled features importance across models

Spearman Correlation of Models

models spearman correlation